An information-theory-based approach for optimal model reduction of biomolecules M Giulini, R Menichetti, MS Shell, R Potestio Journal of chemical theory and computation 16 (11), 6795-6813, 2020 | 56 | 2020 |
From system modeling to system analysis: The impact of resolution level and resolution distribution in the computer-aided investigation of biomolecules M Giulini, M Rigoli, G Mattiotti, R Menichetti, T Tarenzi, R Fiorentini, ... Frontiers in Molecular Biosciences 8, 676976, 2021 | 36 | 2021 |
Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment MF Lensink, G Brysbaert, N Raouraoua, PA Bates, M Giulini, RV Honorato, ... Proteins: Structure, Function, and Bioinformatics 91 (12), 1658-1683, 2023 | 26 | 2023 |
A deep graph network–enhanced sampling approach to efficiently explore the space of reduced representations of proteins F Errica, M Giulini, D Bacciu, R Menichetti, A Micheli, R Potestio Frontiers in Molecular Biosciences 8, 637396, 2021 | 14 | 2021 |
A journey through mapping space: characterising the statistical and metric properties of reduced representations of macromolecules R Menichetti, M Giulini, R Potestio The European Physical Journal B 94, 1-26, 2021 | 13 | 2021 |
A deep learning approach to the structural analysis of proteins M Giulini, R Potestio Interface focus 9 (3), 20190003, 2019 | 11 | 2019 |
Machine learning models for predicting endocrine disruption potential of environmental chemicals M Chierici, M Giulini, N Bussola, G Jurman, C Furlanello Journal of Environmental Science and Health, Part C 36 (4), 237-251, 2018 | 11 | 2018 |
Making sense of complex systems through resolution, relevance, and mapping entropy R Holtzman, M Giulini, R Potestio Physical Review E 106 (4), 044101, 2022 | 9 | 2022 |
The HADDOCK2. 4 web server for integrative modeling of biomolecular complexes RV Honorato, ME Trellet, B Jiménez-García, JJ Schaarschmidt, M Giulini, ... Nature Protocols, 1-23, 2024 | 6 | 2024 |
Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking M Giulini, C Schneider, D Cutting, N Desai, C Deane, AMJJ Bonvin bioRxiv, 2023.11. 17.567543, 2023 | 6 | 2023 |
EXCOGITO, an Extensible Coarse-Graining Toolbox for the Investigation of Biomolecules by Means of Low-Resolution Representations M Giulini, R Fiorentini, L Tubiana, R Potestio, R Menichetti Journal of Chemical Information and Modeling, 2024 | 1 | 2024 |
ARCTIC-3D: automatic retrieval and clustering of interfaces in complexes from 3D structural information M Giulini, RV Honorato, JL Rivera, AMJJ Bonvin Communications Biology 7 (1), 49, 2024 | 1 | 2024 |
Accelerating the identification of informative reduced representations of proteins with deep learning for graphs F Errica, M Giulini, D Bacciu, R Menichetti, A Micheli, R Potestio arXiv preprint arXiv:2007.08658, 2020 | 1 | 2020 |
The SH Protein of Mumps Virus is a Druggable Pentameric Viroporin K Devantier, TL Toft-Bertelsen, A Prestel, VMS Kjaer, C Sahin, M Giulini, ... bioRxiv, 2024.08. 09.607002, 2024 | | 2024 |
Modelling Protein-Glycan Interactions with HADDOCK A Ranaudo, M Giulini, A Pelissou Ayuso, AMJJ Bonvin bioRxiv, 2024.07. 31.605986, 2024 | | 2024 |
The mapping problem in coarse-grained modelling of biomolecules M Giulini Università degli studi di Trento, 2022 | | 2022 |
Measurement and minimisation of the Mapping Entropy of a Coarse-Grained biomolecular system M Giulini MDPI, 2021 | | 2021 |
Assessing the quality of reduced representations of biomolecules M Giulini | | |